Using the distance table below and the UPGMA tree building method, select the tree that best fits thedistance matrix. Numbers above the tree branches represent branch lengths. (Note, while the root of each ofthe trees below is not indicated, strictly speaking, there is an implied root on the very left of each of the treesbelow. Assume all the trees are rooted.)ABCA046B80Tree 22.523Tree 4OTree 130Tree 3Tree 3O Tree 4O Tree 1Tree 20

UPGMA is an agglomerative clustering method which is used to cluster points based on distance…

Using the distance table below and the UPGMA tree building method, select the tree that best fr distance matrix. Numbers above the tree branches represent branch lengths. (Note, while the rom the trees below is not indicated, strictly speaking, there is an implied root on the very left of each below. Assume all the trees are rooted.) A B с A 0 4 B 0 C Tree 1 ti 30 6 8 0 Tree 2 2.5

Using the distance table below and the UPGMA tree building method, select the tree that best fr distance matrix. Numbers above the tree branches represent branch lengths. (Note, while the rom the trees below is not indicated, strictly speaking, there is an implied root on the very left of each below. Assume all the trees are rooted.) A B с A 0 4 B 0 C Tree 1 ti 30 6 8 0 Tree 2 2.5

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Question

Using the distance table below and the UPGMA tree building method, select the tree that best fits the
distance matrix. Numbers above the tree branches represent branch lengths. (Note, while the root of each of
the trees below is not indicated, strictly speaking, there is an implied root on the very left of each of the trees
below. Assume all the trees are rooted.)
A
B
C
A
0
4
6
B
8
0
Tree 2
2.5
23
Tree 4
O
Tree 1
30
Tree 3
Tree 3
O Tree 4
O Tree 1
Tree 2
0

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12:34 A cs61a.org Implement add_d_leaves, a function that takes in a Tree instance t and a number v. We define the depth of a node in t to be the number of edges from the root to that node. The depth of root is therefore 0. For each node in the tree, you should add d leaves to it, where d is the depth of the node. Every added leaf should have a label of v. If the node at this depth has existing branches, you should add these leaves to the end of that list of branches. For example, you should be adding 1 leaf with label v to each node at depth 1, 2 leaves to each node at depth 2, and so on. Here is an example of a tree t (shown on the left) and the result after add_d_leaves is applied with v as 5. 3 2 3 2 4 4 5 5 5 Hint: Use a helper function to keep track of the depth! def add_d_leaves(t, v): """Add d leaves containing v to each ng